Literature DB >> 29078148

Cannabis use moderates the relationship between pain and negative affect in adults with opioid use disorder.

Marian Wilson1, Hannah Y Gogulski2, Carrie Cuttler3, Teresa L Bigand4, Oladunni Oluwoye5, Celestina Barbosa-Leiker6, MaryLee A Roberts7.   

Abstract

INTRODUCTION: Adults in Medication-Assisted Treatment (MAT) for opioid addiction are at risk for substance use relapse and opioid overdose. They often have high rates of cannabis use and comorbid symptoms of pain, depression, and anxiety. Low levels of self-efficacy (confidence that one can self-manage symptoms) are linked to higher symptom burdens and increased substance use. The effects of cannabis use on symptom management among adults with MAT are currently unclear. Therefore, the primary purpose of this study is to examine whether cannabis use moderates the relationships between pain and negative affect (i.e., depression and anxiety) and whether self-efficacy influences these interactions.
METHODS: A total of 150 adults receiving MAT and attending one of two opioid treatment program clinics were administered a survey containing measures of pain, depression, anxiety, self-efficacy, and cannabis use.
RESULTS: Cannabis use frequency moderated the relationships between pain and depression as well as pain and anxiety. Specifically, as cannabis use frequency increased, the positive relationships between pain and depression and pain and anxiety grew stronger. However, cannabis use was no longer a significant moderator after controlling for self-efficacy.
CONCLUSIONS: Results suggest that cannabis use strengthens, rather than weakens, the relationships between pain and depression and pain and anxiety. These effects appear to be driven by decreased self-efficacy in cannabis users. It is important to understand how self-efficacy can be improved through symptom self-management interventions and whether self-efficacy can improve distressing symptoms for people in MAT.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Cannabis use; Depression; Opioid addiction; Pain; Self-efficacy

Mesh:

Year:  2017        PMID: 29078148     DOI: 10.1016/j.addbeh.2017.10.012

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  8 in total

1.  Effects of the synthetic cannabinoid receptor agonist JWH-018 on abuse-related effects of opioids in rhesus monkeys.

Authors:  Lisa R Gerak; Peter F Weed; David R Maguire; Charles P France
Journal:  Drug Alcohol Depend       Date:  2019-06-29       Impact factor: 4.492

2.  Assessing the impact of a cannabis course on pharmacy students' understanding, beliefs and preparedness regarding medical and recreational cannabis.

Authors:  Vikas Parihar; Michael A Beazely; Laura Katz; Rita Dhami; Lisa Laureen Patterson
Journal:  Can Pharm J (Ott)       Date:  2021-09-03

3.  Green Hope: Perspectives on Cannabis from People who Use Opioids.

Authors:  Miriam Boeri; Elise Pereira; Alina Minkova; Kevin Marcato; Elianne Martinez; Denise Woodall
Journal:  Sociol Inq       Date:  2020-02-13

Review 4.  Emerging Clinical Technology: Application of Machine Learning to Chronic Pain Assessments Based on Emotional Body Maps.

Authors:  Pavel Goldstein; Yoni Ashar; Jonas Tesarz; Mehmet Kazgan; Burak Cetin; Tor D Wager
Journal:  Neurotherapeutics       Date:  2020-07       Impact factor: 7.620

5.  Knowledge, Practices, and Attitudes of Washington State Health Care Professionals Regarding Medical Cannabis.

Authors:  Louise Kaplan; Tracy Klein; Marian Wilson; Janessa Graves
Journal:  Cannabis Cannabinoid Res       Date:  2020-06-05

Review 6.  Use of Medical Cannabis to Treat Traumatic Brain Injury.

Authors:  Danielle C Hergert; Cidney Robertson-Benta; Veronik Sicard; Daniela Schwotzer; Kent Hutchison; Dan P Covey; Davin K Quinn; Joseph R Sadek; Jacob McDonald; Andrew R Mayer
Journal:  J Neurotrauma       Date:  2021-01-25       Impact factor: 4.869

Review 7.  Neuroimmune Mechanisms as Novel Treatment Targets for Substance Use Disorders and Associated Comorbidities.

Authors:  Mark D Namba; Jonna M Leyrer-Jackson; Erin K Nagy; M Foster Olive; Janet L Neisewander
Journal:  Front Neurosci       Date:  2021-04-15       Impact factor: 4.677

8.  Mobile Peer-Support for Opioid Use Disorders: Refinement of an Innovative Machine Learning Tool.

Authors:  Caroline R Scherzer; Megan L Ranney; Shrenik Jain; Satya Prateek Bommaraju; John Patena; Kirsten Langdon; Evelyn Nimaja; Ernestine Jennings; Francesca L Beaudoin
Journal:  J Psychiatr Brain Sci       Date:  2020-02-03
  8 in total

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